Lei Meng, selected in the Qilu Young Scholar (Tier-1) program, has been Professor with the School of Software, Shandong University since 2020. He received the B.Eng.’s degree in Shandong University, China in 2010, and obtained the PhD’s degree in Nanyang Technological University, Singapore in 2015, supervised by Prof. Ah-Hwee Tan. Taking the position of Research Fellow in 2015, he joined the Joint NTU-UBC Research Center of Excellence in Active Living for the Elderly (LILY), Nanyang Technological University, working with Prof. Chunyan Miao (Nanyang Technological University) and Prof. Cyril Leung (University of British Columbia). In 2018, he joined the NUS-Tsinghua-Southampton Centre for Extreme Search (NExT++), National University of Singapore, working as Senior Research Fellow with Prof. Tat-Seng Chua.

  He has been engaged in the research of machine learning theory and technology for big multimedia data analytics, with a focus on the directions of clustering, knowledge discovery and data mining, and multimodal recognition and retrieval. His current research interests lie in the topics of adaptive resonance theory (ART), deep learning and their AI-powered applications in multimedia, data mining, and healthcare, including 1. ART-based clustering for big data analytics ① Parameter self-adaptation ② multimodal information fusion ③ Semi(self)-supervised learning ④ lifelong learning 2. Deep neural networks for social media analytics ① Food recognition and recommendation ② Adversarial domain adaptation and meta-learning for small data learning ③ Graph neural networks and knowledge graph for privileged information fusion ④ Learning from imbalanced data 3. Explainable deep learning with cross-modal inferences 4. Video/animation content analysis and generation with multi-source multi-modal data.

  He has published a book with Springer and more than twenty conference and journal papers at top and renowned venues, such as TKDE, TCYB, TMM, TNNLS, Neural Networks, MM, and AAAI. He has filed two international patents and taken in charge of a national program from the national natural science foundation of China. He is the editorial board member of Applied Soft Computing, and have served as Program/Technical Committee member and Reviewer for a number of high-quality conferences and journals, such as MM, SIGIR, AAAI, IJCAI, KDD,ICDM,SDM, and TNNLS. He is a member of the International Neural Network Society (INNS), the Institute of Electrical and Electronics Engineers (IEEE), and the Association for the Advancement of Artificial Intelligence (AAAI).

• 2006.9~2010.7 Computer Science and Technology, Shandong University B.Eng

• 2010.8~2015.2 Computer Engineering, Nanyang Technological University PhD

• 2015.1~2018.11 Joint NTU-UBC Research Center of Excellence in Active Living for the Elderly（LILY），Research Fellow

• 2018.12~2020.9 NUS-Tsinghua-Southampton Centre for Extreme Search（NExT++）, Senior Research Fellow

• 2020.10~now School of Software, Shandong University，Professor

•   2021.1~2023.12 Research on Personalized Diet Recommendation Methods for Health Care，National Natural Science Foundation of China，PI

•   Lei Meng, Ah-Hwee Tan, and Donald C. Wunsch II, “Adaptive Resonance Theory in Social Media Data Clustering – Roles, Methodologies, and Applications,” Advanced Information and Knowledge Processing Series, Springer, 2019.

  Periodical

• Wenya Guo, Ying Zhang, Xiangrui Cai, Lei Meng, Jufeng Yang, Xiaojie Yuan, “LD-MAN: Layout-Driven Multimodal Attention Network for Online News Sentiment Recognition,” IEEE Transactions on Multimedia, Accepted, 2020.

• Lei Meng, Ah-Hwee Tan, Chunyan Miao, “Salience-Aware Adaptive Resonance Theory for Large-Scale Sparse Data Clustering,” Neural Networks, vol. 120, pp. 143-157, 2019.

• Ah-Hwee Tan, Budhitama Subagdja, Di Wang, Lei Meng, “Self-Organizing Neural Networks for Universal Learning and Multimodal Memory Encoding,” Neural Networks, vol. 120, pp. 58-73, 2019.

• Yingjie Xia, Luming Zhang, Lei Meng, Yan Yan, Liqiang Nie, and Xuelong Li, “Exploring Web Images to Enhance Skin Disease Analysis Under A Computer Vision Framework," IEEE Transactions on Cybernetics, vol. 48, no. 11, pp. 3080-3091, 2018.

• Lei Meng, Chunyan Miao, and Cyril Leung, “Towards Online and Personalized Daily Activity Recognition, Habit Modeling, and Anomaly Detection for the Solitary Elderly Through Unobtrusive Sensing,” Multimedia Tools and Applications, vol. 76, no. 8, pp. 10779-10799, 2017.

• Lei Meng, Ah-Hwee Tan and Donald C. Wunsch II, “Adaptive Scaling of Cluster Boundaries for Large-Scale Social Media Data Clustering,” IEEE Transactions on Neural Networks and Learning Systems (TNNLS), vol. 27, no. 12, pp. 2656-2669, 2016.

• Liqiang Nie, Luming Zhang, Lei Meng, Xuemeng Song, Xiaojun Chang, and Xuelong Li, “Modeling Disease Progression via Multisource Multitask Learners: A Case Study With Alzheimer's Disease,” IEEE Transactions on Neural Networks and Learning Systems (TNNLS), vol. 28, no. 7, pp. 1508-1519, 2016.

• Lei Meng, Ah-Hwee Tan and Dong Xu, “Semi-Supervised Heterogeneous Fusion for Multimedia Data Co-clustering,” IEEE Transactions on Knowledge and Data Engineering (TKDE), vol. 26, no. 9, pp. 2293-2306, 2014.

  Metting

• Lei Meng, Fuli Feng, Xiangnan He, Xiaoyan Gao, Tat-Seng Chua, “Heterogeneous Fusion of Semantic and Collaborative Information for Visually-Aware Food Recommendation,” ACM International Conference on Multimedia (MM), accepted, 2020.

• Chuang Lin, Sicheng Zhao, Lei Meng*, Tat-Seng Chua, “Multi-Source Domain Adaptation for Visual Sentiment Classification,” AAAI, accepted, 2020.

• Lei Wu, Xi Chen, Lei Meng*, Xiangxu Meng, “Multitask Adversarial Learning for Chinese Font Style Transfer,” International Joint Conference on Neural Networks (IJCNN), accepted, 2020.

• Lei Meng, Long Chen, Xun Yang, Dacheng Tao, Hanwang Zhang, Chunyan Miao, Tat-Seng Chua, “Learning Using Privileged Information for Food Recognition,” ACM International Conference on Multimedia (MM), pp. 557-565, 2019.

• Xinjia Yu, Lei Meng, Xiaohai Tian, Simon Fauvel, Bo Huang, Frank Guan, Zhiqi Shen, Chunyan Miao, Cyril Leung, “Usability Analysis of the Novel Functions to Assist the Senior Customers in Online Shopping,” International Conference on Human Computer Interaction, pp. 173-185, 2018.

• Xiaohai Tian, Lei Meng, Siyuan Liu, Zhiqi Shen, Eng Siong Chng, Cyril Leung, Frank Yunqing Guan, and Chunyan Miao, “Novel Functional Technologies Towards Age-friendly E-commerce,” HCI International Conference, pp.150-158, 2017.

• Lei Meng, Quy Hy Nguyen, Xiaohai Tian, Zhiqi Shen, Eng Siong Chng, Frank Yunqing Guan, Chunyan Miao, and Cyril Leung, “Towards Age-friendly E-commerce Through Crowd-improved Speech Recognition, Multimodal Search, and Personalized Speech Feedback,” International Conference on Crowd Science and Engineering, pp. 1-8, 2016.

• Lei Meng, Ah-Hwee Tan, Cyril Leung, Liqiang Nie, Tat-Seng Chua, and Chunyan Miao, “Online Multimodal Co-indexing and Retrieval of Weakly Labeled Web Image Collections,” ACM International Conference on Multimedia Retrieval (ICMR), pp. 219-226, 2015.

• Lei Meng and Ah-Hwee Tan, “Community Discovery in Social Networks via Heterogeneous Link Association and Fusion,” SIAM International Conference on Data Mining (SDM), pp. 803-811, 2014.

• Lei Meng, Ah-Hwee Tan and Donald C. Wunsch II, “Vigilance Adaptation in Adaptive Resonance Theory,” International Joint Conference on Neural Networks, pp. 1-7, 2013.  

• Lei Meng and Ah-Hwee Tan, “Semi-supervised Hierarchical Clustering for Personalized Web Image Organization,” International Joint Conference on Neural Networks, pp. 252-258, 2012.

• Lei Meng, Zhaoyan Ming, Tat-Seng Chua, “Food Recognition Enhanced Using Privileged Information,” ILO Ref: 2019-243-01, SG Non-Provisional Application No. 10201907991T, Singapore, 29 Aug. 2019.

• Lei Meng, Fuli Feng, Xiangnan He, Tat-Seng Chua, “A Visually-aware Food Recommender based on Dual-gating Multi-task Learning,” ILO Ref: 2020-286-01, SG Non-Provisional Application No. 10202009048R, Singapore, 15 Sep. 2020.